{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Install MONAI Deploy App SDK and dependencies"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "%pip install -r prostate_mri_lesion_seg_app/requirements.txt"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Download models and test data"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Download the following folder (ProstateX-0004) and place in test-data/\n",
                "# https://drive.google.com/drive/folders/1besSncSLlbeiv7UWveRJoOYQXOzu3JkU?usp=drive_link\n",
                "\n",
                "# Download the following folder of models and place in prostate_lesion_seg_app/models\n",
                "# https://drive.google.com/drive/folders/1EpjrlzEdV7CcaCYqGTIEzOapamP4Ag6M?usp=drive_link"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Test application locally (non-containerized)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "%%bash\n",
                "\n",
                "./scripts/test_local.sh -i test-data/ProstateX-0004/ -o output/ -m prostate_mri_lesion_seg_app/models/"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Build the `lesion_seg_workflow_app` container, i.e., the MONAI Application Package (MAP). This may take more than 15 minutes during the initial build."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Package code into MAP\n",
                "APP_DIR=\"prostate_mri_lesion_seg_app\"\n",
                "MODEL_DIR=APP_DIR + \"/models\"\n",
                "!monai-deploy package $APP_DIR -l DEBUG -t lesion_seg_workflow_app -m $MODEL_DIR -c $APP_DIR/app.yaml --platform x64-workstation"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "[2025-03-10 15:30:48,718] [INFO] (runner) - Checking dependencies...\n",
                        "[2025-03-10 15:30:48,718] [INFO] (runner) - --> Verifying if \"docker\" is installed...\n",
                        "\n",
                        "[2025-03-10 15:30:48,718] [INFO] (runner) - --> Verifying if \"docker-buildx\" is installed...\n",
                        "\n",
                        "[2025-03-10 15:30:48,718] [INFO] (runner) - --> Verifying if \"lesion_seg_workflow_app-x64-workstation-dgpu-linux-amd64:1.0\" is available...\n",
                        "\n",
                        "[2025-03-10 15:30:48,745] [INFO] (runner) - Reading HAP/MAP manifest...\n"
                    ]
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "e78bc1d0b1626d397f0a117855e31d21940746a6ed6179747baaaab9b200281f\n"
                    ]
                },
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "[2025-03-10 15:30:51,406] [INFO] (runner) - --> Verifying if \"nvidia-ctk\" is installed...\n",
                        "\n",
                        "[2025-03-10 15:30:51,406] [INFO] (runner) - --> Verifying \"nvidia-ctk\" version...\n",
                        "\n",
                        "[2025-03-10 15:30:53,579] [INFO] (common) - Launching container (3baab5796e76) using image 'lesion_seg_workflow_app-x64-workstation-dgpu-linux-amd64:1.0'...\n",
                        "    container name:      nervous_dijkstra\n",
                        "    host name:           8038Kidwell\n",
                        "    network:             host\n",
                        "    user:                1000:1000\n",
                        "    ulimits:             memlock=-1:-1, stack=67108864:67108864\n",
                        "    cap_add:             CAP_SYS_PTRACE\n",
                        "    ipc mode:            host\n",
                        "    shared memory size:  67108864\n",
                        "    devices:             \n",
                        "    group_add:           44\n"
                    ]
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "2025-03-10 19:30:54 [INFO] Launching application python3 /opt/holoscan/app ...\n",
                        "\n",
                        "[info] [fragment.cpp:599] Loading extensions from configs...\n",
                        "\n",
                        "[info] [gxf_executor.cpp:264] Creating context\n",
                        "\n",
                        "[2025-03-10 19:30:56,858] [INFO] (root) - Parsed args: Namespace(log_level=None, input=None, output=None, model=None, workdir=None, argv=['/opt/holoscan/app'])\n",
                        "\n",
                        "[2025-03-10 19:30:56,860] [INFO] (root) - AppContext object: AppContext(input_path=/var/holoscan/input, output_path=/var/holoscan/output, model_path=/opt/holoscan/models, workdir=/var/holoscan)\n",
                        "\n",
                        "[2025-03-10 19:30:56,860] [INFO] (app.AIProstateLesionSegApp) - App input and output path: /var/holoscan/input, /var/holoscan/output\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'input_folder'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'dicom_study_list'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'dicom_study_list'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'dicom_study_list'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'study_selected_series_list'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'study_selected_series_list'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'study_selected_series_list'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_highb'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_organ_seg'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_adc'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_t2'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_lesion_seg'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_highb'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_organ_seg'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_adc'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:1797] creating input IOSpec named 'image_t2'\n",
                        "\n",
                        "[info] [gxf_executor.cpp:2208] Activating Graph...\n",
                        "\n",
                        "[info] [gxf_executor.cpp:2238] Running Graph...\n",
                        "\n",
                        "[info] [gxf_executor.cpp:2240] Waiting for completion...\n",
                        "\n",
                        "[info] [greedy_scheduler.cpp:191] Scheduling 10 entities\n",
                        "\n",
                        "[2025-03-10 19:30:56,936] [INFO] (monai.deploy.operators.dicom_data_loader_operator.DICOMDataLoaderOperator) - No or invalid input path from the optional input port: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,124] [INFO] (root) - Finding series for Selection named: highb\n",
                        "\n",
                        "[2025-03-10 19:30:57,124] [INFO] (root) - Searching study, : 1.3.6.1.4.1.14519.5.2.1.7311.5101.170561193612723093192571245493\n",
                        "\n",
                        "  # of series: 7\n",
                        "\n",
                        "[2025-03-10 19:30:57,124] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.212145009248667341607386363070\n",
                        "\n",
                        "[2025-03-10 19:30:57,124] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,124] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,124] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'TRACEW']\n",
                        "\n",
                        "[2025-03-10 19:30:57,124] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.473042633347744664896320600386\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'TRACEW']\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.185507447168665319391310538903\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'TRACEW']\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.206828891270520544417996275680\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'TRACEW']\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.278358228783511961204087191158\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'TRACEW']\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.154156364083745277068656620138\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'TRACEW']\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - On attribute: 'SeriesDescription' to match value: '((?=3B 2000 w ERC SSh_DWI)|(?=AX DIFFUSION_CALC_BVAL_DFC_MIX)|(?=AX DWI)|(?=.*AX DWI (50,1500).*)|(?=Ax DWI BH)|(?=AX DWI_TRACEW_DFC_MIX)|(?=Axial FOCUS DWI 1400)|(?=b_1500 prostate)|(?=b_2000 prostate)|(?=DIFF bv1400)|(?=diff tra b 50 500 800 WIP511b alle spoelenCALC_BVAL)|(?=diffusie-3Scan-4bval_fsCALC_BVAL)|(?=DW_Synthetic: Ax DWI All B-50-800 Synthetic B-1400)|(?=.*DW_Synthetic: Ax Focus 50,500,800,1400,2000.*)|(?=DWI PROSTATE)|(?=DWI_5b_0_1500)|(?=DWI_b2000)|(?=DWI_b2000_new)|(?=DWI_b2000_new SENSE)|(?=DWI_b2000_NSA6 SENSE)|(?=ep2d_diff_b1400_new 32 measipat)|(?=ep2d_diff_tra_DYNDIST_MIXCALC_BVAL$)|(?=ep2d_diff_tra_DYNDISTCALC_BVAL)|(?=ep2d_diff_tra2x2_Noise0_FS_DYNDISTCALC_BVAL)|(?=ep2d-advdiff-3Scan-high bvalue 1400)|(?=sb_1500)|(?=sb_2000)|(?=sB1400)|(?=sb1500)|(?=sb-1500)|(?=sb1500 r5 only)|(?=sb-2000)|(?=sDWI_b_2000)|(?=sDWI_b2000))'\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) -     Series attribute SeriesDescription value: ep2d_diff_tra_DYNDIST_MIXCALC_BVAL\n",
                        "\n",
                        "[2025-03-10 19:30:57,125] [INFO] (root) - Series attribute string value did not match. Try regEx.\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Selected Series, UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.154156364083745277068656620138\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Finding series for Selection named: adc\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Searching study, : 1.3.6.1.4.1.14519.5.2.1.7311.5101.170561193612723093192571245493\n",
                        "\n",
                        "  # of series: 7\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.212145009248667341607386363070\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'ADC']\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.473042633347744664896320600386\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'ADC']\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.185507447168665319391310538903\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'ADC']\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.206828891270520544417996275680\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'ADC']\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.278358228783511961204087191158\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'ImageType' to match value: ['DIFFUSION', 'ADC']\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - On attribute: 'SeriesDescription' to match value: '((?=ADC (10^-6 mm\u00b2/s))|(?=Apparent Diffusion Coefficient (mm2/s))|(?=AX DIFFUSION_ADC_DFC_MIX)|(?=.*AX DWI (50,1500)_ADC.*)|(?=AX DWI_ADC_DFC_MIX)|(?=b_1500 prostate_ADC)|(?=b_2000 prostate_ADC)|(?=d3B ADC 3B 750  ERC SSh_DWI FAST SENSE)|(?=dADC)|(?=dADC 0_1500)|(?=dADC 100 400 600)|(?=dADC 2)|(?=dADC 3)|(?=dADC ALL)|(?=dADC b 0 1000 2000)|(?=dADC from 0_1500)|(?=dADC from b0_600)|(?=dADC from B0-1500)|(?=dADC Map)|(?=dADC map 1)|(?=dADC MAP 2)|(?=dADC_1 axial)|(?=dADC_b375_750_1150)|(?=ddADC MAP)|(?=DIFF bv1400_ADC)|(?=diff tra b 50 500 800 WIP511b alle spoelen_ADC)|(?=diffusie-3Scan-4bval_fs_ADC)|(?=dReg - WIP SSh_DWI FAST SENSE)|(?=dSSh_DWI SENSE)|(?=DWI PROSTATE_ADC)|(?=dWIP 3B 600 w ERC SSh_DWI S2Ovs2)|(?=dWIP 3B ADC 3B 600 w/o ERC SSh_DWI FAST SENSE)|(?=dWIP SSh_DWI FAST SENSE)|(?=ep2d_diff_new 16 measipat_ADC)|(?=ep2d_DIFF_tra_b50_500_800_1400_alle_spoelen_ADC)|(?=ep2d_diff_tra_DYNDIST_ADC)|(?=ep2d_diff_tra_DYNDIST_MIX_ADC)|(?=ep2d_diff_tra2x2_Noise0_FS_DYNDIST_ADC)|(?=ep2d-advdiff-3Scan-4bval_spair_511b_ADC))'\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) -     Series attribute SeriesDescription value: ep2d_diff_tra_DYNDIST_MIX_ADC\n",
                        "\n",
                        "[2025-03-10 19:30:57,126] [INFO] (root) - Series attribute string value did not match. Try regEx.\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) - Selected Series, UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.278358228783511961204087191158\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) - Finding series for Selection named: t2\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) - Searching study, : 1.3.6.1.4.1.14519.5.2.1.7311.5101.170561193612723093192571245493\n",
                        "\n",
                        "  # of series: 7\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.212145009248667341607386363070\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) - On attribute: 'ImageType' to match value: ['ORIGINAL', 'PRIMARY']\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) - On attribute: 'SeriesDescription' to match value: '((?=AX T2)|(?=AX T2  6 NSA)|(?=AX T2  FAST)|(?=AX T2 . voxel 7x.8)|(?=AX T2 B1 Default)|(?=AX T2 CS)|(?=AX T2 cs 3.0)|(?=AX T2 FAST)|(?=AX T2 FRFSE)|(?=AX T2 N/S)|(?=AX T2 No sense)|(?=AX T2 NS)|(?=AX T2 NSA 3)|(?=AX T2 NSA 4)|(?=AX T2 NSA 5)|(?=AX T2 PROP)|(?=Ax T2 PROSTATE)|(?=AX T2 SMALL FOV)|(?=Ax T2 thin FRFSE)|(?=sT2 TSE ax no post)|(?=T2 AX)|(?=T2 AX SMALL FOV[*]? IF MOTION REPEAT[*]?)|(?=T2 AXIAL 3MM)|(?=T2 TRA 3mm)|(?=T2 TSE Ax)|(?=T2 TSE ax cs)|(?=T2 TSE ax hi)|(?=T2 TSE ax hi sense)|(?=T2 TSE ax no sense)|(?=T2 TSE ax NS)|(?=T2 TSE ax NSA 3)|(?=t2_tse_tra)|(?=t2_tse_tra_320_p2)|(?=t2_tse_tra_3mm _SFOV_TE 92)|(?=t2_tse_tra_Grappa3)|(?=T2W_TSE)|(?=T2W_TSE_ax)|(?=T2W_TSE_ax PSS Refoc 52)|(?=T2W_TSE_ax zoom PSS Refoc))'\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) -     Series attribute SeriesDescription value: t2_tse_cor\n",
                        "\n",
                        "[2025-03-10 19:30:57,127] [INFO] (root) - Series attribute string value did not match. Try regEx.\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.473042633347744664896320600386\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'ImageType' to match value: ['ORIGINAL', 'PRIMARY']\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'SeriesDescription' to match value: '((?=AX T2)|(?=AX T2  6 NSA)|(?=AX T2  FAST)|(?=AX T2 . voxel 7x.8)|(?=AX T2 B1 Default)|(?=AX T2 CS)|(?=AX T2 cs 3.0)|(?=AX T2 FAST)|(?=AX T2 FRFSE)|(?=AX T2 N/S)|(?=AX T2 No sense)|(?=AX T2 NS)|(?=AX T2 NSA 3)|(?=AX T2 NSA 4)|(?=AX T2 NSA 5)|(?=AX T2 PROP)|(?=Ax T2 PROSTATE)|(?=AX T2 SMALL FOV)|(?=Ax T2 thin FRFSE)|(?=sT2 TSE ax no post)|(?=T2 AX)|(?=T2 AX SMALL FOV[*]? IF MOTION REPEAT[*]?)|(?=T2 AXIAL 3MM)|(?=T2 TRA 3mm)|(?=T2 TSE Ax)|(?=T2 TSE ax cs)|(?=T2 TSE ax hi)|(?=T2 TSE ax hi sense)|(?=T2 TSE ax no sense)|(?=T2 TSE ax NS)|(?=T2 TSE ax NSA 3)|(?=t2_tse_tra)|(?=t2_tse_tra_320_p2)|(?=t2_tse_tra_3mm _SFOV_TE 92)|(?=t2_tse_tra_Grappa3)|(?=T2W_TSE)|(?=T2W_TSE_ax)|(?=T2W_TSE_ax PSS Refoc 52)|(?=T2W_TSE_ax zoom PSS Refoc))'\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute SeriesDescription value: t2_tse_sag\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - Series attribute string value did not match. Try regEx.\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.185507447168665319391310538903\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'ImageType' to match value: ['ORIGINAL', 'PRIMARY']\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'SeriesDescription' to match value: '((?=AX T2)|(?=AX T2  6 NSA)|(?=AX T2  FAST)|(?=AX T2 . voxel 7x.8)|(?=AX T2 B1 Default)|(?=AX T2 CS)|(?=AX T2 cs 3.0)|(?=AX T2 FAST)|(?=AX T2 FRFSE)|(?=AX T2 N/S)|(?=AX T2 No sense)|(?=AX T2 NS)|(?=AX T2 NSA 3)|(?=AX T2 NSA 4)|(?=AX T2 NSA 5)|(?=AX T2 PROP)|(?=Ax T2 PROSTATE)|(?=AX T2 SMALL FOV)|(?=Ax T2 thin FRFSE)|(?=sT2 TSE ax no post)|(?=T2 AX)|(?=T2 AX SMALL FOV[*]? IF MOTION REPEAT[*]?)|(?=T2 AXIAL 3MM)|(?=T2 TRA 3mm)|(?=T2 TSE Ax)|(?=T2 TSE ax cs)|(?=T2 TSE ax hi)|(?=T2 TSE ax hi sense)|(?=T2 TSE ax no sense)|(?=T2 TSE ax NS)|(?=T2 TSE ax NSA 3)|(?=t2_tse_tra)|(?=t2_tse_tra_320_p2)|(?=t2_tse_tra_3mm _SFOV_TE 92)|(?=t2_tse_tra_Grappa3)|(?=T2W_TSE)|(?=T2W_TSE_ax)|(?=T2W_TSE_ax PSS Refoc 52)|(?=T2W_TSE_ax zoom PSS Refoc))'\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute SeriesDescription value: tfl_3d PD ref_tra_1.5x1.5_t3\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - Series attribute string value did not match. Try regEx.\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - This series does not match the selection conditions.\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - Working on series, instance UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.206828891270520544417996275680\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'Modality' to match value: 'MR'\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute Modality value: MR\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'ImageType' to match value: ['ORIGINAL', 'PRIMARY']\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute ImageType value: None\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - On attribute: 'SeriesDescription' to match value: '((?=AX T2)|(?=AX T2  6 NSA)|(?=AX T2  FAST)|(?=AX T2 . voxel 7x.8)|(?=AX T2 B1 Default)|(?=AX T2 CS)|(?=AX T2 cs 3.0)|(?=AX T2 FAST)|(?=AX T2 FRFSE)|(?=AX T2 N/S)|(?=AX T2 No sense)|(?=AX T2 NS)|(?=AX T2 NSA 3)|(?=AX T2 NSA 4)|(?=AX T2 NSA 5)|(?=AX T2 PROP)|(?=Ax T2 PROSTATE)|(?=AX T2 SMALL FOV)|(?=Ax T2 thin FRFSE)|(?=sT2 TSE ax no post)|(?=T2 AX)|(?=T2 AX SMALL FOV[*]? IF MOTION REPEAT[*]?)|(?=T2 AXIAL 3MM)|(?=T2 TRA 3mm)|(?=T2 TSE Ax)|(?=T2 TSE ax cs)|(?=T2 TSE ax hi)|(?=T2 TSE ax hi sense)|(?=T2 TSE ax no sense)|(?=T2 TSE ax NS)|(?=T2 TSE ax NSA 3)|(?=t2_tse_tra)|(?=t2_tse_tra_320_p2)|(?=t2_tse_tra_3mm _SFOV_TE 92)|(?=t2_tse_tra_Grappa3)|(?=T2W_TSE)|(?=T2W_TSE_ax)|(?=T2W_TSE_ax PSS Refoc 52)|(?=T2W_TSE_ax zoom PSS Refoc))'\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) -     Series attribute SeriesDescription value: t2_tse_tra\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - Series attribute string value did not match. Try regEx.\n",
                        "\n",
                        "[2025-03-10 19:30:57,128] [INFO] (root) - Selected Series, UID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.206828891270520544417996275680\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - Converted Image object metadata:\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - SeriesInstanceUID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.206828891270520544417996275680, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - SeriesDate: 20111018, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - SeriesTime: 115341.437000, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - Modality: MR, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - SeriesDescription: t2_tse_tra, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - PatientPosition: FFS, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - SeriesNumber: 5, type <class 'int'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,149] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - row_pixel_spacing: 0.5, type <class 'float'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - col_pixel_spacing: 0.5, type <class 'float'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - depth_pixel_spacing: 4.244812427751082, type <class 'float'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - row_direction_cosine: [1.0, -1.99011e-10, 4.9619e-11], type <class 'list'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - col_direction_cosine: [2.051034e-10, 0.97029572703367, -0.2419218925608], type <class 'list'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - depth_direction_cosine: [1.4080733701821592e-17, 0.2419218925608, 0.97029572703367], type <class 'list'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - dicom_affine_transform: [[ 5.00000000e-01  1.02551700e-10  0.00000000e+00 -1.17913254e+02]\n",
                        "\n",
                        " [-9.95055000e-11  4.85147864e-01  1.08864853e+00 -8.51499185e+01]\n",
                        "\n",
                        " [ 2.48095000e-11 -1.20960946e-01  4.36633089e+00  1.28399916e+01]\n",
                        "\n",
                        " [ 0.00000000e+00  0.00000000e+00  0.00000000e+00  1.00000000e+00]], type <class 'numpy.ndarray'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - nifti_affine_transform: [[-5.00000000e-01 -1.02551700e-10 -0.00000000e+00  1.17913254e+02]\n",
                        "\n",
                        " [ 9.95055000e-11 -4.85147864e-01 -1.08864853e+00  8.51499185e+01]\n",
                        "\n",
                        " [ 2.48095000e-11 -1.20960946e-01  4.36633089e+00  1.28399916e+01]\n",
                        "\n",
                        " [ 0.00000000e+00  0.00000000e+00  0.00000000e+00  1.00000000e+00]], type <class 'numpy.ndarray'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - StudyInstanceUID: 1.3.6.1.4.1.14519.5.2.1.7311.5101.170561193612723093192571245493, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - StudyID: , type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - StudyDate: 20111018, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - StudyTime: 113950.828000, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - StudyDescription: MR prostaat kanker detectie WDS_mc MCAPRODETW, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - AccessionNumber: 1566645557835538, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,150] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - selection_name: t2, type <class 'str'>\n",
                        "\n",
                        "[2025-03-10 19:30:57,160] [INFO] (Loaded image) - Data statistics:\n",
                        "\n",
                        "Type: <class 'monai.data.meta_tensor.MetaTensor'> torch.float32\n",
                        "\n",
                        "Shape: torch.Size([384, 384, 19])\n",
                        "\n",
                        "Value range: (0.0, 1432.0)\n",
                        "\n",
                        "[2025-03-10 19:30:57,161] [INFO] (Channel-first image) - Data statistics:\n",
                        "\n",
                        "Type: <class 'monai.data.meta_tensor.MetaTensor'> torch.float32\n",
                        "\n",
                        "Shape: torch.Size([1, 384, 384, 19])\n",
                        "\n",
                        "Value range: (0.0, 1432.0)\n",
                        "\n",
                        "[2025-03-10 19:30:57,276] [INFO] (Resampled and normalized image) - Data statistics:\n",
                        "\n",
                        "Type: <class 'monai.data.meta_tensor.MetaTensor'> torch.float32\n",
                        "\n",
                        "Shape: torch.Size([1, 192, 193, 82])\n",
                        "\n",
                        "Value range: (-1.5097099542617798, 6.934730052947998)\n",
                        "\n",
                        "[2025-03-10 19:30:57,741] [INFO] (Model output) - Data statistics:\n",
                        "\n",
                        "Type: <class 'monai.data.meta_tensor.MetaTensor'> torch.float32\n",
                        "\n",
                        "Shape: torch.Size([2, 192, 193, 82])\n",
                        "\n",
                        "Value range: (4.7445496420550626e-09, 1.0)\n",
                        "\n",
                        "[2025-03-10 19:30:57,858] [INFO] (Inverted output) - Data statistics:\n",
                        "\n",
                        "Type: <class 'monai.data.meta_tensor.MetaTensor'> torch.float32\n",
                        "\n",
                        "Shape: torch.Size([2, 384, 384, 19])\n",
                        "\n",
                        "Value range: (2.0099241382354194e-08, 1.0)\n",
                        "\n",
                        "[2025-03-10 19:30:57,862] [INFO] (AsDiscrete output) - Data statistics:\n",
                        "\n",
                        "Type: <class 'monai.data.meta_tensor.MetaTensor'> torch.float32\n",
                        "\n",
                        "Shape: torch.Size([1, 384, 384, 19])\n",
                        "\n",
                        "Value range: (0.0, 1.0)\n",
                        "\n",
                        "[2025-03-10 19:30:57,868] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - Output Seg image numpy array shaped: (19, 384, 384)\n",
                        "\n",
                        "[2025-03-10 19:30:57,868] [INFO] (monai.deploy.operators.monai_seg_inference_operator.MonaiSegInferenceOperator) - Output Seg image pixel max value: 1\n",
                        "\n",
                        "\n",
                        "\n",
                        "Beginning organ segmentation...\n",
                        "\n",
                        "2025-03-10 19:30:57,875 INFO image_writer.py:197 - writing: /var/holoscan/output/t2/t2.nii.gz\n",
                        "\n",
                        "2025-03-10 19:30:57,999 INFO image_writer.py:197 - writing: /var/holoscan/output/adc/adc.nii.gz\n",
                        "\n",
                        "2025-03-10 19:30:58,008 INFO image_writer.py:197 - writing: /var/holoscan/output/highb/highb.nii.gz\n",
                        "\n",
                        "2025-03-10 19:30:58,015 INFO image_writer.py:197 - writing: /var/holoscan/output/organ/organ.nii.gz\n",
                        "\n",
                        "\n",
                        "\n",
                        "Beginning lesion segmentation...\n",
                        "\n",
                        "Loading input...\n",
                        "\n",
                        "[info] [greedy_scheduler.cpp:372] Scheduler stopped: Some entities are waiting for execution, but there are no periodic or async entities to get out of the deadlock.\n",
                        "\n",
                        "[info] [greedy_scheduler.cpp:401] Scheduler finished.\n",
                        "\n",
                        "[info] [gxf_executor.cpp:2243] Deactivating Graph...\n",
                        "\n",
                        "[info] [gxf_executor.cpp:2251] Graph execution finished.\n",
                        "\n",
                        "[info] [gxf_executor.cpp:294] Destroying context\n",
                        "\n",
                        "Inputs shape:  torch.Size([1, 3, 206, 186, 170])\n",
                        "\n",
                        "Inputs shape:  torch.Size([1, 3, 206, 186, 170])\n",
                        "\n",
                        "Inputs shape:  torch.Size([1, 3, 206, 186, 170])\n",
                        "\n",
                        "Inputs shape:  torch.Size([1, 3, 206, 186, 170])\n",
                        "\n",
                        "Inputs shape:  torch.Size([1, 3, 206, 186, 170])\n",
                        "\n",
                        "Created file: /var/holoscan/output/lesion/fold1_lesion_prob.nii.gz\n",
                        "\n",
                        "Created file: /var/holoscan/output/lesion/fold0_lesion_prob.nii.gz\n",
                        "\n",
                        "Created file: /var/holoscan/output/lesion/fold3_lesion_prob.nii.gz\n",
                        "\n",
                        "Created file: /var/holoscan/output/lesion/fold4_lesion_prob.nii.gz\n",
                        "\n",
                        "Created file: /var/holoscan/output/lesion/fold2_lesion_prob.nii.gz\n",
                        "\n",
                        "nda_prob min: 0.0\n",
                        "\n",
                        "nda_prob max: 1.0\n",
                        "\n",
                        "nda_prob mean: 0.003159677765710894\n",
                        "\n",
                        "nda_prob std: 0.05078099335586837\n",
                        "\n",
                        "\n",
                        "\n",
                        "Beginning lesion classification...\n",
                        "\n",
                        "Loading images...\n",
                        "\n",
                        "Resampling ADC/HIGHB to match T2...\n",
                        "\n",
                        "Resampling all channels to (0.5, 0.5, 0.5)...\n",
                        "\n",
                        "Combined volume shape: torch.Size([4, 384, 384, 163])\n",
                        "\n",
                        "Inputs shape:  (384, 384, 163)\n",
                        "\n",
                        "nda_resize_crops shape:  torch.Size([3, 64, 64, 64])\n",
                        "\n",
                        "{'Organ': 'Prostate', 'Major_Axis_Length': 253.97388926871932, 'Volume': 17872.75}\n",
                        "\n",
                        "predicted_value: 1\n",
                        "\n",
                        "{'Lesion_ID': 1, 'Major_Axis_Length': 32.67513188512687, 'Volume': 8581.5, 'PI_RADS': 3}\n",
                        "\n"
                    ]
                },
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "[2025-03-10 15:31:18,706] [INFO] (common) - Container 'nervous_dijkstra'(3baab5796e76) exited.\n"
                    ]
                }
            ],
            "source": [
                "%%bash\n",
                "\n",
                "monai-deploy run lesion_seg_workflow_app-x64-workstation-dgpu-linux-amd64:1.0 -i test-data/ProstateX-0004/ -o output/"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 1500x500 with 3 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 500x500 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Load and display the output nifti segmentation on top of the t2 image\n",
                "import os\n",
                "import nibabel as nib\n",
                "import matplotlib.pyplot as plt\n",
                "\n",
                "t2_img = nib.load(os.path.join(\"output\", \"t2/t2.nii.gz\"))\n",
                "organ_seg = nib.load(os.path.join(\"output\", \"organ/organ.nii.gz\"))\n",
                "lesion_seg = nib.load(os.path.join(\"output\", \"lesion/lesion_mask.nii.gz\"))\n",
                "\n",
                "t2_data = t2_img.get_fdata()\n",
                "organ_data = organ_seg.get_fdata()\n",
                "lesion_data = lesion_seg.get_fdata()\n",
                "\n",
                "# Plot the t2 image, organ segmentation and lesion segmentation\n",
                "slice = t2_data.shape[2] // 2\n",
                "plt.figure(figsize=(15, 5))\n",
                "plt.subplot(1, 3, 1)\n",
                "plt.imshow(t2_data[:, :, slice].T, cmap=\"gray\")\n",
                "plt.title(\"T2 Image\")\n",
                "plt.axis(\"off\")\n",
                "\n",
                "plt.subplot(1, 3, 2)\n",
                "plt.imshow(organ_data[:, :, slice].T, cmap=\"gray\")\n",
                "plt.title(\"Organ Segmentation\")\n",
                "plt.axis(\"off\")\n",
                "\n",
                "plt.subplot(1, 3, 3)\n",
                "plt.imshow(lesion_data[:, :, slice].T, cmap=\"gray\")\n",
                "plt.title(\"Lesion Segmentation\")\n",
                "plt.axis(\"off\")\n",
                "\n",
                "plt.show()\n",
                "\n",
                "# Create a single image with all the segmentations\n",
                "plt.figure(figsize=(5, 5))\n",
                "plt.imshow(t2_data[:, :, slice].T, cmap=\"gray\")\n",
                "plt.imshow(organ_data[:, :, slice].T, cmap=\"jet\", alpha=0.5)\n",
                "plt.imshow(lesion_data[:, :, slice].T, cmap=\"jet\", alpha=0.5)\n",
                "plt.title(\"T2 Image with Organ and Lesion Segmentations\")\n",
                "plt.axis(\"off\")\n",
                "plt.show()\n"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "monai-public",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.10.16"
        },
        "orig_nbformat": 4
    },
    "nbformat": 4,
    "nbformat_minor": 2
}
